METHODS: The analyses used 12 hERG IC50 \'best practice\' data sets (for the 3 reference agents). A group of 5 data sets came from a single laboratory. The other 7 data sets were collected by 6 different laboratories.
RESULTS: The denominator exposure distributions were consistent with the ICH E14/S7B Training Materials. The inter-occasion and inter-laboratory variability in hERG IC50 values were comparable. Inter-drug differences were most important in determining the pooled margin variability. The combined data provided a robust hERG margin reference based on best practice guidelines and consistent exposure denominators. The sensitivity of hERG margin thresholds were consistent with the sensitivity described over the course of the last two decades.
CONCLUSIONS: The current data provide further insight into the sensitivity of the 30-fold hERG margin \'cut-off\' used for two decades. Using similar hERG assessments and these analyses, a future researcher can use a hERG margin threshold to support a negative QTc integrated risk assessment.
方法:分析使用12个hERGIC50“最佳实践”数据集(用于3种参考药物)。一组5个数据集来自一个实验室。其他7个数据集由6个不同的实验室收集。
结果:分母暴露分布与ICHE14/S7B培训材料一致。hERGIC50值的间期和实验室间变异性是相当的。药物间差异在确定合并边缘变异性方面最重要。合并后的数据基于最佳实践指南和一致的暴露分母提供了可靠的hERG余量参考。hERG边缘阈值的灵敏度与过去二十年中描述的灵敏度一致。
结论:当前数据提供了对使用了20年的30倍hERG边缘\'截止值\'的敏感性的进一步了解。使用类似的hERG评估和这些分析,未来的研究人员可以使用hERG裕度阈值来支持负面的QTc综合风险评估.